Every signed-in visitor who opens a listing on your site leaves a qualified trace: which property, what type, what price, roughly where. Analytics turns those traces into a map of demand, a price picture and a list of the people who keep coming back, so the brokerage decides where to list, what to feature and who to call from evidence rather than instinct.
Analytics
Qualified activity across your website, compared with the prior period.
Page views reward whoever refreshes most. Analytics counts something rarer: a person who has signed in on your site choosing to open a listing. That is closer to a buyer raising a hand than to a hit counter, and it is why the sections below can be read as a picture of your market rather than of your web server.
Analytics does not send anything itself. It tells you where the demand is and who is behind it; the rest of the platform does the sending. Each scenario below is a real read of the dashboard followed by the tools that act on it.
The hottest cell on the map sits around Aurora Grove, and Aurora is 46% of all interest, up from 39% over the year. Your inventory there is thin. Buyers are already looking at the street; sellers are what you are missing.
DoPoint the seller side of the funnel at that area: promote the neighbourhood page and the home valuation entry, and give the agents who cover Aurora the By area routing lane so every enquiry from those streets reaches them. Put an Aurora market update in front of your seller contacts through an email campaign.
Two in five buyers on your site are shopping between $900k and $1.2M, and townhouses lead the property-type chart, while your featured listings section leads with $1.8M detached homes. The home page is talking to a buyer who is not the one visiting.
DoSwitch Featured listings to Most viewed in the live site editor so the home page shows what people are opening. Send a "new under $1.2M this week" campaign with the Just listed template to the newsletter purpose, and put the same band in the next Mass SMS to a consented buyer segment.
The Customer preferences table sorts by Repeat. Seven people have gone back to the same home three times or more; one of them, Dana, prefers townhouses 80% of the time and has opened 14 Elderberry Crt four times in five days.
DoOpen History, see the four visits, and call about that property today. Tag the seven as Hot buyer, build a segment has the tag Hot buyer and SMS marketing is allowed, and text the Saturday open house to exactly those people. If Dana drew a watched area, the next matching listing reaches her without anyone remembering to send it.
The daily trend peaks on Sunday evenings, and the sale-versus-lease split shows lease interest in Newmarket rising while your Lease lane is still set to Manual, so those enquiries wait in the queue until Monday.
DoSchedule the next campaign for Sunday at 6 pm and let business hours hold any automated text until you open on Monday. Set the Lease lane to By area so the agent who covers Newmarket gets the rental enquiries the moment they arrive, and give the leasing agents the Office listings block on the home page.
The last section of the dashboard is the one agents care about most: the people. Each signed-in customer appears with the property type they lean to and how strongly, how many properties they have looked at, how many qualified views that took, and how often they came back to the same home.
| Customer | Preferred property | Preference | Properties | Views | Repeat | History |
|---|---|---|---|---|---|---|
| Dana Whitfield | Townhouse | 80% | 5 | 14 | 4 | visibility |
| Marcus Bell | Detached | 67% | 6 | 11 | 3 | visibility |
| Priya Raman | Condo apartment | 100% | 3 | 9 | 3 | visibility |
| The Lindqvists | Townhouse | 60% | 5 | 7 | 1 | visibility |
| Sam Whitfield | Detached | 50% | 4 | 5 | 0 | visibility |
Analytics arrives with the listing search and customer accounts on Growth, because it is built on signed-in visitors opening listings. The tools that act on it are spread across the plans: the live site editor and lead routing are in the plan, texting and segments come with the Lead Engine add-on, and email campaigns with Dominance AI.
Unlimited agents, board-approved listing search, customer accounts, the CRM and this dashboard.
Mass SMS, tags and segments come with the Automated AI Lead Engine add-on; email campaigns with Dominance AI.
Signed-in customers opening listings on your site. Anonymous traffic is not counted, which is the point: every number on the dashboard is a person who could be in your Customers list, not a bot or a passing click.
A customer opening a listing, recorded by the server from the listing feed. Opening the same listing again within 30 minutes counts once. Interests go one step further: one customer and one property in the period count as one interest however many times they looked.
No. Each customer and property pair contributes once, coordinates are rounded to a cell roughly a hundred metres across, and the map receives only the cell and its weight. Names, MLS® numbers and addresses never reach it.
No. It shows you the demand and the people behind it. To act, you tag customers, let a segment pick them up, and send through Mass SMS or an email campaign, which check consent on the way out. Featured listings and lead routing are changed in the editor and the Leads screen.
Periods of 7, 30 or 90 days or one year, each compared with the period before it. Raw events are kept for 13 months and then roll off.
Because removing a home from their own recent list is housekeeping, not a change of mind. The qualified interest stays in the aggregate; only their personal list changes.
Brokerage admins, from Analytics in the main menu. Agents see the individual detail that matters to them under Leads and Customers.
Growth brings the dashboard and the heatmap. Read it on a Monday, decide who to call, what to feature and where to list, and let the rest of the studio do the sending.